Missing data: Our view of the state of the art.
Joseph L. Schafer,John W. Graham +1 more
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TLDR
2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI) are presented and may eventually extend the ML and MI methods that currently represent the state of the art.Abstract:
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.read more
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Test use and assessment practices of school psychologists in the United States: Findings from the 2017 National Survey.
Nicholas Benson,Randy G. Floyd,John H. Kranzler,Tanya L. Eckert,Sarah A. Fefer,Grant B. Morgan +5 more
TL;DR: Results of this study indicate that school psychologists regularly conduct multi-method assessments to prevent, identify, monitor, and remediate child and adolescent learning difficulties and other presenting problems in the schools.
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The Dynamics of Staying and Leaving: Implications for Battered Women’s Emotional Well-Being and Experiences of Violence at the End of a Year
TL;DR: Comparing emotional well-being and experiences of violence for 206 low-income, primarily Black battered women following different relationship trajectories, this longitudinal study found that women both separated from and together with their partner for the entire year of the study fared best at the end of that year compared to women “in” and “out” of the relationship over time.
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Personality, person–brand fit, and brand community: An investigation of individuals, brands, and brand communities
TL;DR: In this paper, the authors hypothesise that the enduring personality traits extraversion and agreeableness predict identification with the [brand] community, which in turn, and along with product attachment, will be related to brand trust and brand loyalty.
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Brief motivational intervention and alcohol expectancy challenge with heavy drinking college students: A randomized factorial study
TL;DR: The findings extend previous research with BMI and AEC but do not support their utility as a combined preventive intervention to reduce collegiate alcohol abuse.
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Intergenerational Continuities and Discontinuities in Intimate Partner Violence A Two-Generational Prospective Study
TL;DR: There is an indirect effect of adolescent exposure to severe IPV on later adult involvement in IPV (age 29-31), mediated by involvement in a violent relationship in early adulthood, and results were largely invariant by gender.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book
Statistical Analysis with Missing Data
TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
Book
Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Book
Multiple imputation for nonresponse in surveys
TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
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